Data Analysis with RStudio: An Easygoing Introduction

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Bol Readers learn how to install and use RStudio, import data, write and run scripts, and save their work. Each chapter includes exercises to reinforce learning, with solutions provided at the end of the book. This book introduces RStudio for practitioners and students and enables them to use R confidently in everyday work. It is not a statistics textbook; its aim is to share the joy of analysing data with R. Readers learn how to install and use RStudio, import data, write and run scripts, and save their work. They also learn how to apply descriptive statistics and create informative graphs. Additionally, the book shows how to test hypotheses and perform common inferential methods, including analyses of variance and regression. Each chapter includes exercises to reinforce learning, with solutions provided at the end of the book. This 2nd revised and extended edition adds new topics and examples and strengthens the existing chapters through a thorough review.

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Bol

Readers learn how to install and use RStudio, import data, write and run scripts, and save their work. Each chapter includes exercises to reinforce learning, with solutions provided at the end of the book. This book introduces RStudio for practitioners and students and enables them to use R confidently in everyday work. It is not a statistics textbook; its aim is to share the joy of analysing data with R. Readers learn how to install and use RStudio, import data, write and run scripts, and save their work. They also learn how to apply descriptive statistics and create informative graphs. Additionally, the book shows how to test hypotheses and perform common inferential methods, including analyses of variance and regression. Each chapter includes exercises to reinforce learning, with solutions provided at the end of the book. This 2nd revised and extended edition adds new topics and examples and strengthens the existing chapters through a thorough review.

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Pagina's: 144, Editie: Second rev. and enl. Edition 2026, Paperback, Springer


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  • 9783662732434
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